With new technologies revolutionizing data collection, wildlife researchers are becoming increasingly able to collect data at much higher volumes than ever before. Now we are facing the challenges of putting this information to use, bringing the science of big data into the conservation arena. With the help of machine learning tools, this area holds immense potential for conservation practices. The applications range from online trafficking alerts to species-specific early warning systems to efficient movement and biodiversity monitoring and beyond.
However, the process of building effective machine learning tools depends upon large amounts of standardized training data, and conservationists currently lack an established system for standardization. How to best develop such a system and incentivize data sharing are questions at the forefront of this work. There are currently multiple AI-based conservation initiatives, including Wildlife Insights and WildBook, that are pioneering applications on this front.
This group is the perfect place to ask all your AI-related questions, no matter your skill level or previous familiarity! You'll find resources, meet other members with similar questions and experts who can answer them, and engage in exciting collaborative opportunities together.
Just getting started with AI in conservation? Check out our introduction tutorial, How Do I Train My First Machine Learning Model? with Daniel Situnayake, and our Virtual Meetup on Big Data. If you're coming from the more technical side of AI/ML, Sara Beery runs an AI for Conservation slack channel that might be of interest. Message her for an invite.
Header Image: Dr Claire Burke / @CBurkeSci
Explore the Basics: AI
Understanding the possibilities for incorporating new technology into your work can feel overwhelming. With so many tools available, so many resources to keep up with, and so many innovative projects happening around the world and in our community, it's easy to lose sight of how and why these new technologies matter, and how they can be practically applied to your projects.
Machine learning has huge potential in conservation tech, and its applications are growing every day! But the tradeoff of that potential is a big learning curve - or so it seems to those starting out with this powerful tool!
To help you explore the potential of AI (and prepare for some of our upcoming AI-themed events!), we've compiled simple, key resources, conversations, and videos to highlight the possibilities:
Three Resources for Beginners:
- Everything I know about Machine Learning and Camera Traps, Dan Morris | Resource library, camera traps, machine learning
- Using Computer Vision to Protect Endangered Species, Kasim Rafiq | Machine learning, data analysis, big cats
- Resource: WildID | WildID
Three Forum Threads for Beginners:
- I made an open-source tool to help you sort camera trap images | Petar Gyurov, Camera Traps
- Batch / Automated Cloud Processing | Chris Nicolas, Acoustic Monitoring
- Looking for help with camera trapping for Jaguars: Software for species ID and database building | Carmina Gutierrez, AI for Conservation
Three Tutorials for Beginners:
- How do I get started using machine learning for my camera traps? | Sara Beery, Tech Tutors
- How do I train my first machine learning model? | Daniel Situnayake, Tech Tutors
- Big Data in Conservation | Dave Thau, Dan Morris, Sarah Davidson, Virtual Meetups
Want to know more about AI, or have your specific machine learning questions answered by experts in the WILDLABS community? Make sure you join the conversation in our AI for Conservation group!
- @Namukuru
- | Her/ she
I am an Environmentalist with a background in Data Science. I envision a world where development is founded upon sustainability. I believe in executing projects that leverage innovation to enhance the well-being of the environment, the people, and the economy; simultaneously.
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- @DominiqueP
- | She/her
TRAFFIC
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- 1 Groups
University of Adelaide
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- 10 Discussions
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Worked as a mechanical engineer for a defence co, then software engineer, then for a research lab specialising in underwater robotics.
- 1 Resources
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- @ronanwallace
- | He/Him
Research scientist developing conservation technology in environmental monitoring and cultural preservation.
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- @PierreBonnet
- | Pierre
https://orcid.org/0000-0002-2828-4389
- 0 Resources
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I'm a software developer. I have open source projects in practical object detection and alerting that is well suited for poacher detection and a Raspberry Pi based sound localizing ARU project
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Care for Wild Rhino Sanctuary
Technology Manager at Care for Wild Rhino Sanctuary
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- @pchwalek
- | He/him/his
I'm a PhD candidate in the Responsive Environments Group, working on electronic systems for human and wildlife monitoring.
- 0 Resources
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New horizon scanning report published this month identifies 15 emerging threats and opportunities for global biodiversity.
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From artificial “sniffer” technologies to portable DNA sequencers, the Wildlife Crime Tech Challenge received hundreds of innovative ideas to help stamp out wildlife crime. Now, the Challenge is proud to announce 16...
22 January 2016
Dr. Lucas Joppa, Scientist at Microsoft Research, considers the evolving impact of data in conservation and society. He examines the difference between ‘big data’ and ‘small data’, and explores how models such as the...
22 December 2015
John Amos, President of SkyTruth, explores how remote sensing is being used in conservation today and the importance of sky-truthing. He examines the role that citizen scientists can play in increasing transparency in...
21 December 2015
Gary Atkinson, Director of Emerging Technologies at ARM, explains why we should be interested in the Internet of Things. Could it be a game changer for conservation?
10 December 2015
The 2015 Fuller Symposium brought together thought leaders in science, policy, business, conservation and development to tackle emerging issues facing our planet. This framing piece was developed to support a Fuller...
26 November 2015
Article
Traceability (knowing where products come from and how they are made) is a foundational pre-cursor for many sustainability interventions. While many tools have been developed to offer high-level insight about the...
26 November 2015
The speed at which data travels from the point of collection to a format which is understandable and useful for decision makers can be of critical importance. In this case study, Tim Wilkinson discusses a powerful suite...
6 November 2015
New technologies offer a lot of potential for conservation, but are there potential risks to deploying these new technologies? In this first thought piece for the Ethics of Conservation Tech Group, Dr Chris Sandbrook...
2 November 2015
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Description | Activity | Replies | Groups | Updated |
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Undoubted things will quickly evolve from just "straight" ChatGPTn, BARD, ClaudeAI, etc "standard" models, to more specialized Retrieval Augmentation Generation (RAG) , where... |
+42
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AI for Conservation, Emerging Tech | 4 hours 14 minutes ago | |
Hi Thijs, the use of that inflatable device to scare off bears suggests that the location you are using it has significant power available.Is this a common situation for the... |
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AI for Conservation | 23 hours 54 minutes ago | |
This is so cool! I am 1000% going to see if they want to come talk about it at Variety Hou! |
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AI for Conservation, Citizen Science | 1 day 4 hours ago | |
Our research group has worked on this issue. Here is the paper link: |
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AI for Conservation | 1 day 9 hours ago | |
Hi Sol,If the maximum depth is 30m, it would be worth experimenting with HydroMoth in this application especially if the deployment time is short. As Matt says, the air-filed case... |
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Acoustics, AI for Conservation, Data management and processing tools, Emerging Tech, Sustainable Fishing Challenges | 1 day 11 hours ago | |
Online citizen science platforms like iNaturalist and Macaulay Library contain a wealth of images but are hard to search using text. We are... |
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AI for Conservation, Citizen Science | 2 days 22 hours ago | |
We're seeking training data for AI for wolf ID - we at T4C manage 3 Wildbook platforms: Wild North, Whiskerbook and the... |
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AI for Conservation | 5 days 5 hours ago | |
Hi Phani,An entry point might be to participate in a challenge related to conservation on:KaggleDrivenDataFruitPunchMax Planck Institute of Animal BehaviorYou could also reach out... |
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AI for Conservation | 1 week 3 days ago | |
SYNTHETIC APERTURE RADAR WILL ALSO DETECT AND LOCATE CHAINSAWS, MOTORBIKES, BICYLCLES, FIREARMS, MACHETES in fact anything metal. I have been concentrating on trying to get... |
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AI for Conservation, Drones, Emerging Tech, Human-Wildlife Conflict, Wildlife Crime | 1 week 3 days ago | |
[oops, the same reply got submitted twice and there doesn't seem to be a "delete" button] |
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AI for Conservation, Camera Traps | 1 week 4 days ago | |
Hi @zhongqimiao ,Might you have faced such an issue while using mega detectorThe conflict is caused by:pytorchwildlife 1.0.2.13 depends on torch==1.10.1pytorchwildlife 1.0.2.12... |
+6
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AI for Conservation, Camera Traps, Open Source Solutions | 1 week 3 days ago | |
Hi, this is pretty interesting to me. I plan to fly a drone over wild areas and look for invasive species incursions. So feral hogs are especially bad, but in the Everglades there... |
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AI for Conservation, Camera Traps, Open Source Solutions, Software and Mobile Apps | 1 week 5 days ago |
ChatGPT for conservation
16 January 2023 10:04am
4 May 2024 6:44am
While GPT3.5 is good for some activities, GPT-4 and GPT4-turbo are much better. Anthropic Claude is also very good, on a par with GPT4 for many tasks. As someone else has mentioned, the key is in the prompt you use, though chatGPT is continually being extended to allow more contextual information to be included, for example external files that have been uploaded previously. Code execution and image generation are also possible with the paid version of chatGPT, and the latest models include data up to the end of 2023 (I think). You can also include calls to openAI or other APIs programatically to include these in your workflows for assisting with a variety of tasks.
Regarding end results - as always, we're responsible for whatever outputs are ultimately published/shared etc.
For Conservation Evidence - you could try making your own GPT (chatGPT assistant) that can be published/shared using your own evidence base and prompt that should be well grounded and provide good responses (I should think). But don't use 3.5 for that, IMO.
4 May 2024 8:28pm
Undoubted things will quickly evolve from just "straight" ChatGPTn, BARD, ClaudeAI, etc "standard" models, to more specialized Retrieval Augmentation Generation (RAG) , where facts from authoritative sources and rules are supplied as context for the LLM to summarize in its response. You can direct ChatGPT and BARD: "Your response must be based on the reference sections provided" up to a few K of tokens. A huge amount of work is going into properly indexing reference materials in order to supply context to the reference models. Folks like FAO and CGIAR are indexing all their agricultural knowledge to feed the standard ones with location, crop, livestock, etc specialty "knowledge" to provide farmers automated advice via mobile phones, etc. I can totally see the same for such mundane things as "how do I ... using ArcMAP or QGIS?" purely based on the vast amount of documentation and tutorials. Google, ChatGPT, etc do a really good job already; this is just totally focusing its response to the body of knowledge known in advance to be relevant.
I would highly recommend folks do some searching on "LLM RAG" - that's what going nuts now across the board.
Then there's stuff I like to call "un-SQL" ... unstructured query language .. that will take free-form queries to form SQL queries, with supporting visualization code.
see:
"https://mlnotes.substack.com/p/no-more-text2sql-its-now-rag2sql"
"http://censusgpt.com"
etc.
As far as writing and evaluating proposals, I saw a paper on how summarization of public review forms are being developed in several cities.
see: "http://streetleveladvisors.com/?p=181562"
And that's just the standard LLMs; super-specialized LLMs based on Facebook Llama are being built purely based on domain-specific bodies of dialog - medical, etc. LOTS of Phds to be done.
I think what will be critical in all this are strong audit trails and certification mechanisms to gain trust. Especially when it comes to deceptive simple terms like "best"
Chris
Successfully integrated deepfaune into video alerting system
2 December 2023 11:15am
3 May 2024 11:10am
I saw your images @kimhendrikse, we are actually gonna deploy a system in Romania to scrare bear with sky-dances. So in stead of robots it gonna look like this. You can see a video here of the device we'll be using:
We are using a custom trained YOLOv8 model to just detect bears
3 May 2024 3:07pm
Yeah. I’ve seen the video. Very nice. Good luck with that ! Let us know how it goes.
4 May 2024 12:44pm
Hi Thijs, the use of that inflatable device to scare off bears suggests that the location you are using it has significant power available.
Is this a common situation for the places in Romania that have bear trouble ? Because I think your other systems were running off batteries is that correct ?
AI & Gamified Citizen Science
3 May 2024 7:24am
3 May 2024 5:09pm
Check out FathomVerse, a new game by MBARI folks for involving citizen scientists in improving algorithms to ID deep sea critters!
3 May 2024 8:28pm
This is so cool! I am 1000% going to see if they want to come talk about it at Variety Hou!
Travel grants for insect monitoring an AI
3 May 2024 5:20pm
Has anyone combined flying drone surveys with AI for counting wild herds?
14 April 2024 3:40pm
21 April 2024 4:56pm
That was one of the things I was wondering about, the height that it can resolve animals at. At some resolution it must be able to tell different animals apart.
My application is for invasive herds, or uncontrolled large animal herds such as wild horses or urban deer. In phase 2 we apply contraceptives to them to humanely reduce numbers.
24 April 2024 1:35am
I'm not an expert in this field, but have been doing some self study for a local project... Resolving animals in an image is not purely height related - but rather a combination of height and focal length (distance between the camera lens and the image sensor) (with some other factors) - Ground Sampling Distance (GSD) or Spatial Resolution is often used interchangeably (but there are slight differences). Flying low with a wide angle lens, or high with a telephoto lens can have the same GSD...
See the following for general discussions of GSD (and how to calculate it) vs Spatial Resolution:
- https://www.propelleraero.com/blog/ground-sample-distance-gsd-calculate-drone-data/ or
- https://support.pix4d.com/hc/en-us/articles/202559809-Ground-sampling-distance-GSD-in-photogrammetry or
- https://www.researchgate.net/post/Whats-the-difference-between-pixel-size-and-grid-resolution
I don't know much about the use of LIDAR for identifying animals but this seems a very interesting article to start with: https://besjournals.onlinelibrary.wiley.com/doi/full/10.1111/2041-210X.12219
As to what GSD/Spatial Resolution is needed: it depends on the animal size. It seems that 0.5cm GSD is best to recognize cattle size animals (www.sciencedirect.com/science/article/abs/pii/S0168169922000060), but elephants have been identified at 31 cm resolution in South Africa using satellite data (https://zslpublications.onlinelibrary.wiley.com/doi/full/10.1002/rse2.195).
For comparison, Google Earth images generally range from 60cm GSD and up to 20+m, depending on location (https://gis.stackexchange.com/questions/11395/spatial-resolution-of-google-earth-imagery).
Another pratical issue to deal with is that animals move - especially move fast when disturbed by low flying drones - and it could cause significant estimation issues.
Now if we can get 1cm GSD satellite images of large areas it would be REALLY helpful :-)
As an aside, my ideal scenario is to eventually replace current plane/helicopter based animal surveys with automated options. My specific study area is about 25000ha / 250km2 / 62000 acres, and 3 helicopters (with trained personnel) takes a full day to count animals - at a fairly high cost in local currency (ZAR 250k quoted). I had one estimate to do a image based survey with LIDAR, and just to image this large area at approximately 3cm GSD will take approximately a week of plane flying time for about the same cost...
3 May 2024 3:24pm
Our research group has worked on this issue. Here is the paper link:
Drop-deployed HydroMoth
2 April 2024 10:20am
15 April 2024 6:53am
Hi Matthew,
Thanks for your advice, this is really helpful!
I'm planning to use it in a seagrass meadow survey for a series of ~20 drops/sites to around 30 m, recording for around 10 minutes each time, in Cornwall, UK.
At this stage I reckon we won't exceed 30 m, but based on your advice, I think this sounds like not the best setup for the surveys we want to try.
We will try the Aquarian H1a, attached to the Zoom H1e unit, through a PVC case. This is what Aquarian recommended to me when I contacted them too.
Thanks for the advice, to be honest the software component is what I was most interested in when it came to the AudioMoth- is there any other open source software you would recommend for this?
Best wishes,
Sol
21 April 2024 7:10pm
Hey Sol,
No problem at all. Depending on your configuration, the Audiomoth software would have to work on a PCB with an ESP32 chip which is the unit on the audiomoth/hydromoth, so you would have to make a PCB centered around this chip. You could mimic the functionality of the audiomoth software on another chip, like on a raspberry pi with python's pyaudio library for example. The problem you would have is that the H1A requires phantom power, so it's not plug and play. I'm not too aware with the H1e, but maybe you can control the microphone through the recorder that is programmable through activations by the RPi (not that this is the most efficient MCU for this application, but it is user friendly). A simpler solution might be to just record continuously and play a sound or take notes of when your 10 min deployment starts. I think it should last you >6 hours with a set of lithium energizer batteries. You may want to think about putting a penetrator on the PVC housing for a push button or switch to start when you deploy. They make a few waterproof options.
Just somethign else that occured to me, but if you're dropping these systems, you'll want to ensure that the system isn't wobbling in the seagrass as that will probably be all you will hear on the recordings, especially if you plan to deploy shallower. For my studies in Curacao, we aim to be 5lbs negative, but this all depends on your current and surface action. You might also want to think about the time of day you're recording biodiversity in general. I may suggest recording the site for a bit (a couple days or a week) prior to your study to see what you should account for (e.g. tide flow/current/anthropogenic disturbance) and determine diel patterning of vocalizations you are aiming to collect if subsampling at 10 minutes.
Cheers,
Matt
3 May 2024 12:55pm
Hi Sol,
If the maximum depth is 30m, it would be worth experimenting with HydroMoth in this application especially if the deployment time is short. As Matt says, the air-filed case means it is not possible to accurately calibrate the signal strength due to the directionality of the response. For some applications, this doesn't matter. For others, it may.
Another option for longer/deeper deployments would be an Aquarian H2D hydrophone which will plug directly into AudioMoth Dev or AudioMoth 1.2 (with the 3.5mm jack added). You can then use any appropriately sized battery pack.
If you also connect a magnetic switch, as per the GPS board, you can stop and start recording from outside the housing with the standard firmware.
Alex
AI-enabled image query system
2 May 2024 2:16am
Elephant Collective Behaviour Project - Principal Investigator
1 May 2024 1:59pm
The Inventory User Guide
1 May 2024 12:46pm
Introducing The Inventory!
1 May 2024 12:46pm
1 May 2024 10:12pm
2 May 2024 3:08pm
3 May 2024 5:33pm
Hiring Chief Engineer at Conservation X Labs
1 May 2024 12:19pm
AI for wolf ID
29 April 2024 7:09pm
AI volunteer work
3 February 2024 12:29pm
24 April 2024 10:59am
Hi Phani,
An entry point might be to participate in a challenge related to conservation on:
You could also reach out to a conservation organization (e. g. WWF or something smaller and more local) and ask them directly whether there's an opportunity for you to volunteer, perhaps even suggest an idea and maybe they find it useful.
I hope you find an opportunity you're looking for!
Mass Detection of Wildlife Snares Using Airborne Synthetic Radar
7 January 2024 6:50am
19 April 2024 1:52pm
In my experience, the preference for trapping animals using different types of snares varies depending on factors such as traditional customs, geographical location, availability and accessibility of materials, terrain, ease of transporting materials, and the type of animal targeted, ranging from buffaloes to medium or small-sized antelope. Based on my experience working in open woodland savannah protected areas (where poachers prefer using wired snares to hunt big game and even small game) and in closed canopy rainforests (where poachers prefer using nylon snares to hunt medium to small-sized antelope). It would be great if the technology will be modified to be capable of detecting both types of snares.
24 April 2024 6:39am
Hi Godfrey, unfortunately the technology wont work on nylon snares. Radar is limited to detecting metal. What I am learning is that in Forest habitat where poachers are catching small antelope like duikers and suni's there is a higher proportion of thick nylon snares. In the areas where I operate more than 90% of the snares are metal, mainly multistranded cable (like brake cables) or single strand like fencing wire. The poachers use metal because the larger antelope like nyala, hartebeest, wildebeest, buffalo break nylon snares or can bite through them. The prefer multi-stranded wires like brake cable wire because they pull through the loop more reliably than single strand (fencing wire) and therefore are more effective. Multistranded wires are also more flexible and easier to coil up and travel with. Radio waves at around 2GHz can penetrate vegetation and forest canopy but cannot penetrate tree trunks and thick branches, so there is also a limitation there but it could be dealt with by having multiple passes on different flight paths over an area so snares shielded from detection by a tree trunk at one angle becomes detectable at another angle.
24 April 2024 7:45am
SYNTHETIC APERTURE RADAR WILL ALSO DETECT AND LOCATE CHAINSAWS, MOTORBIKES, BICYLCLES, FIREARMS, MACHETES in fact anything metal.
I have been concentrating on trying to get funding for Airborne Sythetic Aperture Radar on the basis of snare detection for 2 reasons:
- Detecting and prcisely locating snares will have the biggest conservation impact
- Initially running the detection algorithms will take place as post processing after a flight mission in the cloud. It is therefore betterr suited to statiic targets that will still be in the location recorded during the mission.
Post processing of the radar will shift to real-time onboard processing and reporting via a satellite connection, but this would take quite a lot more development.
MegaDetector v5 release
20 June 2022 9:06pm
23 April 2024 9:43pm
Hi @dmorris,
might you have encountered this issue while working with Mega detector v5?
The conflict is caused by:
pytorchwildlife 1.0.2.13 depends on torch==1.10.1
pytorchwildlife 1.0.2.12 depends on torch==1.10.1
pytorchwildlife 1.0.2.11 depends on torch==1.10.1
if yes what solution helped?
23 April 2024 10:38pm
I'm sorry, I don't use PyTorch-Wildlife; I recommend filing an issue on their repo. Good luck!
23 April 2024 10:38pm
[oops, the same reply got submitted twice and there doesn't seem to be a "delete" button]
Pytorch-Wildlife: A Collaborative Deep Learning Framework for Conservation (v1.0)
21 February 2024 10:30pm
26 February 2024 11:58pm
This is great, thank you so much @zhongqimiao ! I will check it out and looking forward for the upcoming tutorial!
17 April 2024 11:07am
Hi everyone! @zhongqimiao was kind enough to join Variety Hour last month to talk more about Pytorch-Wildlife, so the recording might be of interest to folks in this thread. Catch up here:
23 April 2024 9:48pm
Hi @zhongqimiao ,
Might you have faced such an issue while using mega detector
The conflict is caused by:
pytorchwildlife 1.0.2.13 depends on torch==1.10.1
pytorchwildlife 1.0.2.12 depends on torch==1.10.1
pytorchwildlife 1.0.2.11 depends on torch==1.10.1
if yes how did you solve it, or might you have any ideas?
torch 1.10.1 doesn't seem to exist
Navigating AI and good governance for INGOs
23 April 2024 10:27am
Program Manager: Integrating movement and camera trap data with international conservation policy
22 April 2024 10:16pm
Postdoc: Biologging & Camera Trap Data Integration
22 April 2024 10:10pm
WILDLABS AWARDS 2024 - No-code custom AI for camera trap species classification
5 April 2024 7:00pm
10 April 2024 3:55am
Happy to explain for sure. By Timelapse I mean images taken every 15 minutes, and sometimes the same seals (anywhere from 1 to 70 individuals) were in the image for many consecutive images.
17 April 2024 5:53pm
Got it. We should definitely be able to handle those images. That said, if you're just looking for counts, then I'd recommend running Megadetector which is an object detection model and outputs a bounding box around each animal.
21 April 2024 5:19pm
Hi, this is pretty interesting to me. I plan to fly a drone over wild areas and look for invasive species incursions. So feral hogs are especially bad, but in the Everglades there is a big invasion of huge snakes. In various areas there are big herds of wild horses that will eat themselves out of habitat also, just to name a few examples. Actually the data would probably be useful in looking for invasive weeds, that is not my focus but the government of Canada is thinking about it.
Does your research focus on photos, or can you analyze LIDAR? I don't really know what emitters are available to fly over an area, or which beam type would be best for each animal type. I know that some drones carry a LIDAR besides a camera for example. Maybe a thermal camera would be best to fly at night.
4th International workshop on vocal interactivity in-and-between humans, animals, and robots
19 April 2024 3:03pm
WILDLABS AWARDS 2024 – MothBox
15 April 2024 5:06am
18 April 2024 10:39am
Already an update from @hikinghack:
19 April 2024 12:00pm
Yeah we got it about as bare bones as possible for this level of photo resolution and duration in the field. The main costs right now are:
Pi- $80
Pijuice -$75
Battery - $85
64mp Camera - $60
which lands us at $300 already. But we might be able to eliminate that pijuice and have fewer moving parts, and cut 1/4 of our costs! Compared to something like just a single logitech brio camera that sells for $200 and only gets us like 16mp, we are able to make this thing as cheap as we could figure out! :)
19 April 2024 12:54pm
Gotcha, well I look forward to seeing future iterations and following along with your progress!!
Early Warning Systems for Human-Wildlife Conflict, Zoonotic Spillover, and Other Conservation Challenges
17 April 2024 5:43pm
Faces, Flukes, Fins and Flanks: How multispecies re-ID models are transforming Wild Me's work
17 April 2024 11:10am
WILDLABS AWARDS 2024 - BumbleBuzz: automatic recognition of bumblebee species and behaviour from their buzzing sounds
12 April 2024 8:37am
12 April 2024 8:41pm
Super great to see that there will be more work on insect ecoacoustics! So prevalent in practically every soundscape, but so often over-looked. Can't wait to follow this project as it develops!
17 April 2024 10:23am
Thanks Carly! I will keep anyone interested in this project posted on this platform. Cheers
Join the Seeed Vision Challenge and Explore Conservation Tech!
10 April 2024 9:15am
WILDLABS AWARDS 2024 - Enhancing Pollinator Conservation through Deep NeuralNetwork Development
7 April 2024 5:55pm
Job Opportunity - Wildlife Protection Solutions
5 April 2024 9:22pm
Completely irrational animals...
3 April 2024 7:13pm
3 April 2024 9:09pm
3 April 2024 9:20pm
4 April 2024 5:05am
2 May 2024 9:39pm
In my experience, ChatGPT-4 performs significantly better than version 3.5, especially in terms of contextual understanding. However, like any AI model, inaccuracies cannot be completely eliminated. I've also seen a video showing that Gemini appears to excel at literature reviews, though I haven't personally tested it yet. Here's the link to the video: https://www.youtube.com/watch?v=sPiOP_CB54A.